Interpolation Calculator Excel

There are two ways to “interpolation calculator excel”: the quick way you copy and the durable way you understand. This page gives you both. The exact Excel answer is above; below, we build the small mental model that makes the fix stick, so the next variation of the same problem solves itself.

Exact answer

In Excel: give FORECAST.LINEAR only the two bracketing points — =FORECAST.LINEAR(x,{y1;y2},{x1;x2}) — and it returns the straight-line value between them.

On this page7
Annotated stepsExcel
1

Sort the table by the x column ascending; everything below depends on that order.

2

Locate the row below the target with =MATCH(E2,$A$2:$A$13,1), which returns the position of the largest x not greater than the target.

3

Use INDEX with that position and the one after it to build the two-point ranges for FORECAST.LINEAR.

4

Or compute it arithmetically: y1 + (x - x1) * (y2 - y1) / (x2 - x1), which makes each term visible on the sheet.

5

Guard the edges with IF so a target outside the table returns a message rather than a silent extrapolation.

=FORECAST.LINEAR(E2,B2:B3,A2:A3)
Ctrl+CthenCtrl+Shift+V+Cthen+Ctrl+VPaste values · WindowsMac

Need it as an auditable file?

Ships inside the linked template — formula-driven, unlocked, audit-ready.

View template

What this does

Interpolation estimates a value at an input that lies between two measurements, on the assumption that the relationship is straight between them. Passing FORECAST.LINEAR the whole table instead of the bracketing pair does something quite different: it fits a least-squares line through every point and returns a value from that fit, which is a regression estimate rather than an interpolation. Keep the inputs visible and clearly labelled and the whole thing stays auditable — anyone who opens the file later, including you, can see at a glance exactly what feeds the result and change one assumption without hunting through the formula. Treat “interpolation calculator excel” as a small repeatable workflow rather than a one-off click you hope to remember next time. Use a small test block before the live file, so any surprise in the affected cells shows up while it is still harmless. When a formula is involved, keep the inputs labelled beside it, reference cells instead of typing values, and apply number formatting only after the result checks out. That turns a calculation you can defend to a CFO or an auditor into a method you can reuse, explain, and defend when the workbook leaves your screen.

A worked example

Viscosity is 4.2 at 20 °C and 3.1 at 30 °C. At 24 °C the interpolated value is 4.2 + (24-20) × (3.1-4.2) / (30-20) = 3.76, and =FORECAST.LINEAR(24,{4.2;3.1},{20;30}) returns the same 3.76. Handing the function all twelve rows of the table would return 3.68 — a different number answering a different question. Rate tables, calibration curves and price breaks are all published at intervals, and reading the nearest row instead of interpolating is a rounding error nobody documents. One habit worth forming early: name the cells that hold your inputs, so the formula reads in plain language instead of a string of cell addresses. A reviewer — or you in three months — can then follow the logic without decoding what B7 and D2 were supposed to mean, which is most of what makes a sheet maintainable.

In Google Sheets

If you are in Google Sheets rather than Excel, the good news is that the formula shown here is identical and the workflow barely changes — menus sit across the top instead of in a ribbon, and a few function names differ slightly, but anything you build here moves across with little or no rework. Keep this page bookmarked for the next time the same question comes up. Better still, repeat the steps once in your own workbook — doing it yourself is what turns a copied answer into something you remember. Here is the takeaway for “interpolation calculator excel”: copy the answer if you are busy, but if you have a spare few minutes, rebuild the example in Excel yourself with the tool above open beside it. That single pass — type it, run it, watch the result move when you change an input — is what turns a formula you found into a technique you trust. Keep your inputs labelled and referenced, never hard-coded, and the same sheet stays correct and auditable as it grows. Done that way, you will not need to look this up again, and you will be the person others ask.

Common mistakes

  • Passing the entire dataset to FORECAST.LINEAR and calling the result an interpolation.
  • Leaving the x column unsorted, which makes MATCH with match type 1 return the wrong bracketing row without any error.
  • Extrapolating past the ends of the table, where a straight-line assumption has nothing supporting it.
  • Interpolating a curved relationship over a wide gap — fit a curve, or interpolate between closer points.

Frequently asked questions

Is FORECAST.LINEAR the same as TREND?

For a single new x they return the same value. TREND accepts an array of new x values and returns an array of results.

How do I find the two rows to interpolate between?

MATCH with match type 1 on a sorted x column gives the row below; the row after it is the upper bracket.

What about non-linear data?

Add a trendline, tick Display Equation on chart, and evaluate that equation — or interpolate between points close enough together for a line to be reasonable.

Can I interpolate a date?

Yes. Dates are numbers, so a date x column works directly, as long as the cells are real dates rather than text.